llraDat2: An Artificial LLRA Data Set
In eRm: Extended Rasch Modeling
llraDat2 R Documentation
An Artificial LLRA Data Set
Description
Artificial data set of 70 subjects with 5 items, 4 time points and 3 groups for LLRA.
Usage
llraDat2
Format
A data frame with 70 observations of 21 variables.
t1.I1Answers to item 1 at time point 1
t1.I2Answers to item 2 at time point 1
t1.I3Answers to item 3 at time point 1
t1.I4Answers to item 4 at time point 1
t1.I5Answers to item 5 at time point 1
t2.I1Answers to item 1 at time point 2
t2.I2Answers to item 2 at time point 2
t2.I3Answers to item 3 at time point 2
t2.I4Answers to item 4 at time point 2
t2.I5Answers to item 5 at time point 2
t3.I1Answers to item 1 at time point 3
t3.I2Answers to item 2 at time point 3
t3.I3Answers to item 3 at time point 3
t3.I4Answers to item 4 at time point 3
t3.I5Answers to item 5 at time point 3
t4.I1Answers to item 1 at time point 4
t4.I2Answers to item 2 at time point 4
t4.I3Answers to item 3 at time point 4
t4.I4Answers to item 4 at time point 4
t4.I5Answers to item 5 at time point 4
groupThe group membership
Details
This is a data set as described in Hatzinger and Rusch (2009). 5 items
were measured at 4 time points (in columns). Each persons answers to the
items are recorded in the rows. There are 2
treatment groups and a control group. Treatment group 2 has size, 10,
treatment group 1 has size 20 and the control group has size 40. Item 1 is dichotomous, all others
are polytomous. Item 2, 3, 4 and 5 have 3, 4, 5, 6 categories
respectively.
References
Hatzinger, R. and Rusch, T. (2009) IRT models with relaxed assumptions
in eRm: A manual-like instruction. Psychology Science Quarterly, 51,
pp. 87–120.
Examples
llraDat2
eRm documentation built on May 29, 2024, 2:12 a.m.
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| llraDat2 | R Documentation |
An Artificial LLRA Data Set
Description
Artificial data set of 70 subjects with 5 items, 4 time points and 3 groups for LLRA.
Usage
llraDat2Format
A data frame with 70 observations of 21 variables.
t1.I1Answers to item 1 at time point 1
t1.I2Answers to item 2 at time point 1
t1.I3Answers to item 3 at time point 1
t1.I4Answers to item 4 at time point 1
t1.I5Answers to item 5 at time point 1
t2.I1Answers to item 1 at time point 2
t2.I2Answers to item 2 at time point 2
t2.I3Answers to item 3 at time point 2
t2.I4Answers to item 4 at time point 2
t2.I5Answers to item 5 at time point 2
t3.I1Answers to item 1 at time point 3
t3.I2Answers to item 2 at time point 3
t3.I3Answers to item 3 at time point 3
t3.I4Answers to item 4 at time point 3
t3.I5Answers to item 5 at time point 3
t4.I1Answers to item 1 at time point 4
t4.I2Answers to item 2 at time point 4
t4.I3Answers to item 3 at time point 4
t4.I4Answers to item 4 at time point 4
t4.I5Answers to item 5 at time point 4
groupThe group membership
Details
This is a data set as described in Hatzinger and Rusch (2009). 5 items were measured at 4 time points (in columns). Each persons answers to the items are recorded in the rows. There are 2 treatment groups and a control group. Treatment group 2 has size, 10, treatment group 1 has size 20 and the control group has size 40. Item 1 is dichotomous, all others are polytomous. Item 2, 3, 4 and 5 have 3, 4, 5, 6 categories respectively.
References
Hatzinger, R. and Rusch, T. (2009) IRT models with relaxed assumptions in eRm: A manual-like instruction. Psychology Science Quarterly, 51, pp. 87–120.
Examples
llraDat2
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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